Maria E. Trujillo

2.2k citations
23 papers · 1.3k indexed · 1 hit paper · h-index 12
Topics
Receptor Mechanisms and Signaling (6 papers)Diabetes Treatment and Management (5 papers)Cardiac electrophysiology and arrhythmias (5 papers)

In The Last Decade

Maria E. Trujillo

22 papers receiving 1.3k citations

Hit Papers

Hypoxia-Inducible Factor 1α Induces Fibrosis and Insulin ...20092026201420202009200400600

Peers

Maria E. Trujillo
Comparison fields: 5 of 91
  • Physiology 612
  • Epidemiology 468
  • Molecular Biology 437
  • Cardiology and Cardiovascular Medicine 267
  • Surgery 250
Replace Tjeerd Sijmonsma with:
Tjeerd Sijmonsma Germany
Adam B. Mayerson United States
Federica Sentinelli Italy
Svetlana Favelyukis United States
Ian Sipula United States
Kazuyuki Hida Japan
Raquel Fucho Spain
Fen Xu China
Patricia C. Chui United States
Michal Hensler Czechia
Maria E. Trujillo relative to Tjeerd Sijmonsma Germany Tjeerd Sijmonsma's profile →
Citations per field
00.5×1.5×
Tjeerd Sijmonsma · 1×
Citations per year

Countries citing papers authored by Maria E. Trujillo

Since Specialization
Citations

This map shows the geographic impact of Maria E. Trujillo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Maria E. Trujillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria E. Trujillo more than expected).

Fields of papers citing papers by Maria E. Trujillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria E. Trujillo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Maria E. Trujillo. The network helps show where Maria E. Trujillo may publish in the future.

Co-authorship network of co-authors of Maria E. Trujillo

This figure shows the co-authorship network connecting the top 25 collaborators of Maria E. Trujillo. A scholar is included among the top collaborators of Maria E. Trujillo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maria E. Trujillo. Maria E. Trujillo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 0
3 7
4 1
5 24
6 2
7 3
8 2
9 10
10 32
11 42
12 14
13 179
14 31
15
Hypoxia-Inducible Factor 1α Induces Fibrosis and Insulin Resistance in White Adipose Tissuebreakdown →
686
16 52
17 46
18 23
19 10
20 40

About Maria E. Trujillo

Maria E. Trujillo is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology and Physiology, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Diabetes Treatment and Management (5 papers) and Cardiac electrophysiology and arrhythmias (5 papers). The work is most often cited by research in Physiology (612 citations), Biochemistry (102 citations) and Epidemiology (468 citations). Maria E. Trujillo has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Philipp E. Scherer, Shira Landskroner-Eiger, Zhao V. Wang, Nils Halberg, Seán Dineen, Alan Attie, Ulysses J. Magalang, Shariq I. Sherwani, Ingrid Wernstedt Asterholm and Rolf A. Brekken. Their work appears in journals such as PLoS ONE, Molecular and Cellular Biology and The Journal of Clinical Endocrinology & Metabolism.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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